A New Approach for Hand Gesture Recognition Based on the Fusion of ...
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The results obtained based on the recordings from 10 subjects indicate that adding impedance information increases the sEMG recognition rate of hand gesture ...
A New Approach for Hand Gesture Recognition Based on the ...
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A new acquisition system that integrates fewer electrodes is developed to acquire high-quality physiological information for adequate recognition of various ...
The results obtained based on the recordings from 10 subjects indicate that adding impedance information increases the sEMG recognition rate of hand gesture ...
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In this study, we designed a portable four-channel sEMG and impedance signal acquisition device that can simultaneously collect sEMG and tissue impedance signal ...
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This paper demonstrates the application of electromyography (EMG) signals for the control of home devices. To achieve this we have used an armband called ...
Jun 11, 2024 · The core of this study involves the development of a novel methodology that seamlessly integrates the precision of impedance signals with the ...
In this paper, we present a comprehensive survey on sEMG-based hand gesture recognition. We provide an overview of the basic knowledge and background of sEMG ...
Jun 19, 2024 · This study provides an effective guarantee for user-specific fine hand movement decoding based on sEMG signals.
This paper presents a multi-modal fusion for hand gesture recognition (MFHG) model, which uses two heterogeneous networks to extract and fuse the features of ...
We propose a novel approach that fuses the two modali- ties by using convolutional neural networks (CNN) to improve recognition accuracy. Firstly, using an RGB ...